Jiangliu Wang (王江柳)

I am a research assistant professor in the Department of Mechanical and Automation Engineering at The Chinese University of Hong Kong (CUHK).

I obtained my PhD degree from The Chinese University of Hong Kong (CUHK) in 2020, where I was advised by Prof. Yun-hui Liu and funded by HKPFS. I obtained my bachelor degree from Nanjing University in 2015, where I was advised by Prof. Wei Li. During my PhD, I did an internship at Tencent AI Lab, where I had a wonderful time working with Dr. Jianbo Jiao, Dr. Linchao Bao, Dr. Wei Liu, and other labmates.

Before joining CUHK in 2023, I was a postdoctoral fellow at the Hong Kong Centre for Logistics Robotics and a visiting scholar at Tencent AI Lab and Johns Hopkins University. My research interets are computer vision, video understanding and their applications in meidical image analysis and surgical robots.

I'm looking for motivated research assistants interetsed in surgical video analysis. If that sounds like you, feel free to reach out via email.

CV  /  Google Scholar  /  Github  /  Email

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Selected publications

The full list of my puiblication can be found in my Google Scholar.

UC-NeRF: Uncertainty-aware Conditional Neural Radiance Fields from Endoscopic Sparse Views
Jiaxin Guo, Jiangliu Wang , Ruofeng Wei, Di Kang, Qi Dou, Yun-hui Liu
Transactions on Medical Imaging, 2024
pdf / code

SR-Mamba: Effective Surgical Phase Recognition with State Space Models
Rui Cao, Jiangliu Wang , Yun-hui Liu
arXiv:2407.08333, 2024
pdf / code

Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Chongjian Ge, Jiangliu Wang , Zhan Tong, Shoufa Chen, Yibing Song, Ping Luo,
ICLR, 2023
pdf / code

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang , Yibing Song, Jue Wang,
NeurIPS, 2022
pdf / code

Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
Jiangliu Wang* , Jianbo Jiao*, Linchao Bao, Shengfeng He, Wei Liu, Yun-hui Liu
T-PAMI, 2022
pdf / early access / code / bibtex

This work is an extension of our CVPR 2019 paper. I recommend the ablation study section. Our approach achieved decent performance after just one training epoch.

Self-Supervised Video Representation Learning by Pace Prediction
Jiangliu Wang, Jianbo Jiao, Yun-hui Liu
ECCV, 2020
pdf / short video / long video / code / bibtex

This work is inspired by the observation that human visual system is sensitive to video pace, e.g., slow motion, a widely used technique in film making.

Self-supervised spatio-temporal representation learning for videos by predicting motion and appearance statistics
Jiangliu Wang , Jianbo Jiao, Linchao Bao, Shengfeng He, Yun-hui Liu, Wei Liu
CVPR, 2019
pdf / code / bibtex

Neural networks are asked to predict motion and appearance statistics, including the largest motion area, largest and smallest color diversity areas.

View-invariant human action recognition based on a 3d bio-constrained skeleton model
Qiang Nie, Jiangliu Wang, Xin Wang, Yun-hui Liu
TIP, 2019
pdf / bibtex

A 3D bio-constrained skeleton model is proposed to recover the corrupted skeletons and encode the body-level motion features into images.

Kinematics features for 3D action recognition using two-stream CNN
Jiangliu Wang , Yun-hui Liu
WCICA, 2018
pdf / bibtex

Temporal encoded kinematics features are proposed for action recognition, which compute the linear velocity and orientation displacement based on human skeleton data.

Robot Intelligence for Real World Applications
Yun-hui Liu, Fan Zheng, Ruibin Guo, Jiangliu Wang, Qiang Nie, Xin Wang, Zerui Wang,
Chinese Journal of Electronics, 2018
pdf / bibtex

This is an editor invitation paper. A brief review is presented to introduce our recent works on machine intelligence for real-world applications of robots. One technology leads to a startup company VisionNav.

A child caring robot for the dangerous behavior detection based on the object recognition and human action recognitions
Qiang Nie, Xin Wang, Jiangliu Wang, Yun-hui Liu
ROBIO, 2018
pdf / bibtex

A caring robot is developed to detect dangerous behavior of children in the domestic environment based on action recognition and object recognition technologies.

Before PhD

During my undergraduate study, I was lucky enough to work with Prof. Wei Li on a defense–intrusion interaction optimization problem. This work is published in a Tier 1 applied mathematics journal.

Motion patterns and phase-transition of a defender–intruder problem and optimal interception strategy of the defender
Jiangliu Wang, Wei Li
Communications in Nonlinear Science and Numerical Simulation, 2015
pdf / bibtex

An optimal interception strategy of the defender is provided with interpretations of its physical meaning, which depends on relative mobility of the intruder and defender.

Thesis
Self-Supervised Video Representation Learning
Jiangliu Wang
September, 2020
pdf  /  slides

Service

Reviewer of CVPR 2021, ICCV 2021, ICML 2021 Workshop on SSL, NeurIPS 2020 Workshop on SSL, ICRA 2020, IROS 2019, T-NNLS, RAM.


Page template from Jonathan T. Barron.